« Back To Robotics News
Universal Logic Logo

Member Since 2012

LEARN MORE

Universal provides supply chains with complete automated material handling systems for high-mix, high-volume applications. Systems integrate artificial intelligence with vision, grasping and motion control to give machines human-like flexibility at high speed. Our artificial intelligence software, called Neocortex® - Software with an IQ® - enables automated systems to handle high item variability, part change-overs, and deformable objects without fixturing. Key Features of Neocortex G2R (Goods to Robot) Cells: *Flexible: Cartons, bottles, tubes, bags, cans *Fast: 800-1400 per hour, peak to 29 per minute *Learns: No programming, no CAD required *Easy: Operational in a day *Affordable: $7/hour for 2 shifts over 5 years

Content Filed Under:

Industry:
Automotive and Automotive Automotive , Automotive , Building Products/Materials , Consumer Goods/Appliances , Electronics/Electrical Components , Food & Beverage , Furniture , Pharmaceutical , Robotics , Rubber , and Wood Products/Lumber

Application:
N/A

See More

Doerfer Companies and Universal Robotics Partner for Flexible Medical Device Assembly Automation

POSTED 02/07/2014

The Doerfer Companies announces a partnership with Universal Robotics of Nashville, Tennessee, to integrate Universal’s Neocortex intelligence and 3D Spatial Vision software platforms with Doerfer’s custom automation solutions for flexible piece part feeding to industrial automation assembly platforms. For the medical device industry, this technological breakthrough enables automated assembly platforms to receive raw materials without the need for traditional feeding hardware such as vibratory, centrifugal or tray feeders.

Nashville, Tennessee - The Doerfer Companies announces a partnership with Universal Robotics of Nashville, Tennessee, to integrate Universal’s intelligence and 3D software platforms with Doerfer’s custom automation solutions for flexible piece part feeding to industrial automation assembly platforms. For the medical device industry, this technological breakthrough enables automated assembly platforms to receive raw materials without the need for traditional feeding hardware such as vibratory, centrifugal or tray feeders.

Universal Robotics supports this solution through its signature technology, Neocortex®, which is a new form of artificial intelligence that uses sensor information to learn. It was co-developed over seven years by NASA and Vanderbilt University, and was funded by U.S. Department of Defense. Neocortex discovers patterns in chaotic environments that are relevant to an assigned task. From this, it provides operational insight or enables flexible machine control to perform tasks that are unsafe or difficult for humans.

Because Neocortex’s learning requires observation and interaction with the physical world, Universal created an accurate 3D vision guidance software product called Spatial Vision® Robotics that provides Neocortex with information about its surroundings using off-the-shelf 3D sensors.

An active demonstration of this partnership will be offered at MD&M West 2014, held February 11-13, 2014 at the Anaheim Convention Center in Anaheim, CA. The demonstration will use a Motoman MH5SM 6-axis robotic arm to show the ability to locate medical device piece parts completely at random, pick those parts and subsequently place to a tooled nest on an assembly platform. Visit us at Booth # 4247.

About Doerfer Companies
Doerfer Companies designs, manufactures, and integrates factory automation systems for the unique process and product manufacturing needs of the healthcare industry, as well as automotive, aerospace/defense, consumer, and nuclear industries. Doerfer’s 600+ person team creates manufacturing solutions by leveraging significant experience in assembly, packaging, controls, testing, and inspection systems. Visit http://www.doerfer.com.

About Universal Robotics
Universal Robotics, a software engineering company, creates state-of-the-art machine intelligence with multi-dimensional sensing and motion control to expand the reach of automation for a host of applications, making machines more flexible and providing learning from big data.